The seventh International Conference on Swarm Intelligence (ICSI’2016) serves as a very important forum and opportunity for scientists, engineers, educators, and practitioners to exchange the latest advantages in theories, technologies, and applications of swarm intelligence and related areas. The ICSI’2016 is the seventh annual event in the high-reputation ICSI series after Beijing event (ICSI-CCI’2015), Hefei event (ICSI’ 2014), Harbin event (ICSI’ 2013), Shenzhen event (ICSI’ 2012), Chongqing event (ICSI’ 2011) and Beijing event (ICSI’2010). The theme of the ICSI’2016 is “SERVING LIFE WITH INTELLIGENCE and DATA SCIENCE ”. Prospective authors are invited to contribute high-quality papers (6-12 pages) to ICSI’2016 through Online Submission System. Papers presented at ICSI’2016 will be published in Springer’s Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, SCOPUS, ISI Web of Knowledge, ACM Digital Library, Zentralblatt MATH, Google Scholar, IO-Port, etc.) and some high-quality papers will be selected for inclusion in special issues in SCI-indexed International Journals (including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Natural computation, etc.) after the conference.
TheoriesAlgorithmsModelsApplications
Swarm-based optimization techniques
Swarm computing
Stochastic diffusion search
Swarm robotics
Artificial life
Bioinformatics
Cognitive science
Social evolution
Optimization theories and methods
Immune system theory
Evolutionary computation
Grammatical evolution
Natural computing theories
Simulation and emulation of nature
Collective/Social intelligence
Social intelligence
Social computing
Therapeutic strategies
Convergence theory
Stability theory
Others
PSO algorithms
ACO algorithms
FSS algorithms
Bees algorithms
ABC algorithms
Cultural/Social algorithms
Genetic algorithms
Differential evolution
Fireworks algorithms
Memetic algorithms
Bio-inspired algorithms
Evolutionary programming
Evolutionary strategy
Brain storm optimization algorithm
Grammatical evolution
Evolutionary learning systems
Parallelization of swarm-based algorithms
GPU-based implementation algorithms
Nature-inspired algorithms
Development swarm algorithms
Other swarm-based algorithms
Other natural computing algorithms
Computational swarm models
Multi-agent based complex systems
Artificial immune system
Evolutionary intelligent agents
Analytic models of emergent behaviors
Evolving fuzzy system
Evolving neural networks
Bio-inspired computing models
Socio-inspired computing models
Routing and scheduling
Multi-objective optimization
Many-objective optimization
Constrained environment optimization
Information system
Combinatorial optimization models
Function optimization
Neural information system
Differential Evolution
Emerging Areas
Molecular computing
DNA computing
Quantum computing
Granularity computing
Internet computing
Internet+ Applications
Cloud computing
Machine learning
Active learning
Deep learning
Data mining
Reinforcement learning
Big Data
Knowledge discovery
Online & Self-adaptation
Automatic control
Intelligent traffic
Computational Biology
Web intelligence
Intelligent energy systems and networks
Information security
Signal & Image processing
Support vector machine
Pattern recognition
Deep neural networks
Fuzzy logic and systems
Virtual reality
2D or 3D virtual swarms
Video surveillance
Telecommunications systems
Socio-technical systems
Cybernetics and self-organization
Natural language processing
Other swarm intelligence related applications
06月25日
2016
06月30日
2016
终稿截稿日期
注册截止日期
2024年08月23日 中国 Xining
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